Frontiers: Recommending What to Search: Sales Volume and Consumption Diversity Effects of a Query Recommender System

The authors thank participants at the Harvard University D3 Digital Seminar, 2024 International Conference on Information Systems (ICIS 2024), as well as the anonymous associate editor and two anonymous reviewers, for their helpful suggestions. This project was initiated while the first author was an exchange PhD student at Nanyang Technological University. All data were sampled, deidentified, and aggregated by the business partner’s data science team. The authors do not have access to the original raw search or transaction logs. All analyses were also conducted remotely via a terminal owned and maintained by the business partner. The authors did not have any direct interaction with users of the app; hence, the study draws strictly only secondary data. Additionally, we note that one of the coauthors was previously employed by the company involved in the study.